asahi417 commited on
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model update

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  1. README.md +21 -29
README.md CHANGED
@@ -12,70 +12,62 @@ model-index:
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  name: Token Classification
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  type: token-classification
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  dataset:
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- name: tner/tweetner7/test_2021
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- type: tner/tweetner7/test_2021
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- args: tner/tweetner7/test_2021
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  metrics:
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- - name: F1
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  type: f1
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  value: 0.6417969860676713
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- - name: Precision
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  type: precision
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  value: 0.6314199395770392
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- - name: Recall
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  type: recall
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  value: 0.6525208140610546
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- - name: F1 (macro)
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  type: f1_macro
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  value: 0.5950190138355756
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- - name: Precision (macro)
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  type: precision_macro
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  value: 0.5844336783514947
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- - name: Recall (macro)
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  type: recall_macro
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  value: 0.6100191042323923
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- - name: F1 (entity span)
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  type: f1_entity_span
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  value: 0.77377161055505
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- - name: Precision (entity span)
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  type: precision_entity_span
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  value: 0.7612174107642385
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- - name: Recall (entity span)
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  type: recall_entity_span
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  value: 0.7867468486180178
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- - task:
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- name: Token Classification
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- type: token-classification
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- dataset:
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- name: tner/tweetner7/test_2020
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- type: tner/tweetner7/test_2020
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- args: tner/tweetner7/test_2020
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- metrics:
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- - name: F1
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  type: f1
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  value: 0.6535560344827587
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- - name: Precision
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  type: precision
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  value: 0.6795518207282913
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- - name: Recall
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  type: recall
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  value: 0.6294758692267773
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- - name: F1 (macro)
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  type: f1_macro
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  value: 0.6112036126522273
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- - name: Precision (macro)
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  type: precision_macro
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  value: 0.6366190072656497
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- - name: Recall (macro)
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  type: recall_macro
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  value: 0.5931815043549611
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- - name: F1 (entity span)
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  type: f1_entity_span
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  value: 0.7636755591484775
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- - name: Precision (entity span)
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  type: precision_entity_span
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  value: 0.7942825112107623
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- - name: Recall (entity span)
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  type: recall_entity_span
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  value: 0.7353399065905553
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  name: Token Classification
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  type: token-classification
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  dataset:
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+ name: tner/tweetner7
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+ type: tner/tweetner7
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+ args: tner/tweetner7
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  metrics:
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+ - name: F1 (test_2021)
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  type: f1
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  value: 0.6417969860676713
22
+ - name: Precision (test_2021)
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  type: precision
24
  value: 0.6314199395770392
25
+ - name: Recall (test_2021)
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  type: recall
27
  value: 0.6525208140610546
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+ - name: Macro F1 (test_2021)
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  type: f1_macro
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  value: 0.5950190138355756
31
+ - name: Macro Precision (test_2021)
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  type: precision_macro
33
  value: 0.5844336783514947
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+ - name: Macro Recall (test_2021)
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  type: recall_macro
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  value: 0.6100191042323923
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+ - name: Entity Span F1 (test_2021)
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  type: f1_entity_span
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  value: 0.77377161055505
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+ - name: Entity Span Precision (test_2020)
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  type: precision_entity_span
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  value: 0.7612174107642385
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+ - name: Entity Span Recall (test_2021)
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  type: recall_entity_span
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  value: 0.7867468486180178
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+ - name: F1 (test_2020)
 
 
 
 
 
 
 
 
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  type: f1
48
  value: 0.6535560344827587
49
+ - name: Precision (test_2020)
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  type: precision
51
  value: 0.6795518207282913
52
+ - name: Recall (test_2020)
53
  type: recall
54
  value: 0.6294758692267773
55
+ - name: Macro F1 (test_2020)
56
  type: f1_macro
57
  value: 0.6112036126522273
58
+ - name: Macro Precision (test_2020)
59
  type: precision_macro
60
  value: 0.6366190072656497
61
+ - name: Macro Recall (test_2020)
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  type: recall_macro
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  value: 0.5931815043549611
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+ - name: Entity Span F1 (test_2020)
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  type: f1_entity_span
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  value: 0.7636755591484775
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+ - name: Entity Span Precision (test_2020)
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  type: precision_entity_span
69
  value: 0.7942825112107623
70
+ - name: Entity Span Recall (test_2020)
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  type: recall_entity_span
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  value: 0.7353399065905553
73